Popular GitHub Repositories for Tightly Coupled Navigation

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI

Robot-centric elevation mapping for rough terrain navigation

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! ?

? The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Distributed Java game server, including cluster management server, gateway server, hall server, game logic server, background monitoring server and a running web version of fishing. State machine, behavior tree, A* pathfinding, navigation mesh and other AI tools

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.

A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

A Python based lightweight robot simulator for the development of algorithms in robotics navigation, control, and learning.

A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP

Vision-and-Language Navigation in Continuous Environments using Habitat

State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.

Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"